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Coursera Inc rmsprop algorithm
Rmsprop Algorithm, supplied by Coursera Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rmsprop+algorithm/rmsprop/us11049008-214-4-19
Average 90 stars, based on 1 article reviews
rmsprop algorithm - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Method of training a neural network
Article Snippet: The complete model shown in any of FIGS. 1, 3-6 can be trained using Nestrov Momentum technique, for example, with a learning rate 0.01 and momentum 0.9, or any other training method such as Stochastic Gradient Descent (SGD), ADAM (see “ADAM: A Method For Stochastic Optimization”, Proceedings of the 3rd International Conference on Learning Representations (ICLR), 22 Dec. 2014), RMSPROP (see Tieleman, T. and Hinton, G., Lecture 6.5—rmsprop, COURSERA: Neural Networks for Machine Learning, 2012) etc.

Article Title: Effects of network selection and acoustic environment on bounding-box object detection of delphinid whistles using a deep learning tool.
Article Snippet: “Lecture 6.5-rmsprop: Divide the gra- dient by a running average of its recent magnitude,” COURSERA: Neural Netw.

Article Title: Adaptive Gradient Estimation Stochastic Parallel Gradient Descent Algorithm for Laser Beam Cleanup
Article Snippet: Tieleman, T.; Hinton, G. Lecture 6.5-rmsprop, coursera: Neural networks for machine learning.

Article Title: Fault Location and Faulty Line Selection in Transmission Networks: Application of Improved Gated Recurrent Unit
Article Snippet: [28] T. Tieleman et al., “Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,” COURSERA: Neural Netw.

Article Title: Computer-implemented method, computer program product and system for data analysis
Article Snippet: A CNN as shown in FIG. 2 was trained using rmsprop (see e.g., T. Tieleman and G. Hinton, “Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,” COURSERA Neural Netw.

Article Title: Protein Secondary Structure Prediction based on Multi-scale Convolution and Transformer
Article Snippet: As an important field of natural science, bioinformatics reveals various complex biological facts.. The task of protein structure prediction has always been an important research topic in bioinformatics, starting from the primary structure, namely the amino acid sequence, to predict the secondary structure of proteins.. In this experiment, amino acid sequences were encoded in various ways, and the encoded data were input into the constructed deep learning network to predict the secondary structure of proteins.

Article Title: Modeling of Hyperparameter Tuned Deep Learning Model for Automated Image Captioning
Article Snippet: RMSProp (root mean square propagation) is an optimization method developed by Geoffrey E. Hinton in Coursera.

Variant Assay:

Article Title: Reinforcement learning using target neural networks
Article Snippet: .. A variant uses the RMSProp algorithm “Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude,” COURSERA: Neural Networks for Machine Learning, 2012, Tieleman, T and Hinton, G, which adaptively determines a learning rate for each weight. ..



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